Efficient Large-Scale Point Cloud Geometry Compression by Shiyu Lu, Cheng Han, Huamin Yang

“…During decoding, we introduce an efficient generation module that improves decoding quality without increasing decoding time. …”
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Planning Design Competitions to Cultivate Innovative Design Capabilities Among Hong Kong Secondary School Students by Chun-Wang To, Yi-Teng Shih

“…Despite the recognized importance of creativity in secondary education, the role of design as a faculty for teaching abstract creative concepts effectively is seldom explored in depth, hindering students’ development. To address these issues, this study aimed to motivate secondary students to engage more deeply in innovative design by proposing a university-led workshop approach within a design competition module. …”
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Runtime safety assurance methods for cyber physical systems based on simplex architecture by WANG Qiang, CHEN Qiang, CAO Weipeng, HE Wenfeng

“…Whenever a potential safety risk is detected, a decision module then completes the switching between the complex controller and the safe controller in order to guarantee the safety. …”
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Research on Small Target Detection Algorithm for Autonomous Vehicle Scenarios by Sheng Tian, Kailong Zhao, Lin Song

“…By addressing the detection accuracy issues associated with small targets, this study introduces the YOLOv5s-LGC detection algorithm. …”
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Research on Operation Control Technology for Air Rail Collection and Distribution System by WANG Xiangyang, XIONG Kai, WANG Yeliu, ZHANG Xin, WEN Biwang

“…An information processing mechanism is created with independent modules connected to the corresponding external systems, to ensure a clear business information processing flow for each module. …”
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SIFusion: Lightweight infrared and visible image fusion based on semantic injection. by Song Qian, Liwei Yang, Yan Xue, Ping Li

“…Furthermore, to simplify the complexity of the fusion network, this method introduces an Edge Convolution Module (ECB) based on structural reparameterization technology to enhance the representational capacity of the encoder and decoder. …”
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Œuvrer en neurodidactique de la production d’écrits by Jocelyn REULIER

“…Therefore, this article aims at presenting this study, examining the issues, the challenges, the precautions to take into account in such a research. …”
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AD-Diff: enhancing Alzheimer's disease prediction accuracy through multimodal fusion by Lei Han

“…Specifically, the AD-Diff model consists of two core components: the ADdiffusion module and the multimodal Mamba Classifier. The ADdiffusion module uses a 3D diffusion process to generate high-quality PET images, which are then fused with MRI images and tabular data to provide input for the Multimodal Mamba Classifier. …”
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LMD-YOLO: A lightweight algorithm for multi-defect detection of power distribution network insulators based on an improved YOLOv8. by Weiyu Han, Zixuan Cai, Xin Li, Anan Ding, Yuelin Zou, Tianjun Wang

“…The network improves the backbone by introducing SCConv module to improve C2f module, which reduces spatial and channel redundancy, lowering both computational complexity and the number of parameters. …”
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Visible-infrared person re-identification with region-based augmentation and cross modality attention by Yuwei Guo, Wenhao Zhang, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu

“…Moreover, a lightweight hybrid compensation module, i.e., a Modality Feature Transfer (MFT) module, is proposed to integrate cross attention and convolution networks to avoid introducing interfering information while preserving minimal computational overhead. …”
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Enhancing Team Competencies in Medical Education: Conceptualization and Implementation of a Teaching Unit for German Medical Students by Geue K, Körner F, Appelt J, Herberg L, Junne FP

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Fusion Classification Method Based on Audiovisual Information Processing by Peiju Chen, Xuan Zhang, Huijun Zhao, Huiliang Cao, Xuemei Chen, Xiaochen Liu

“…The innovative contributions of this work are as follows. (1) To resolve the issue of the lack of correlation between audio signals and image signals, we introduce a method that converts audio signals into spectrograms and fuses them with target images. …”
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Unravelling the transcriptomic characteristics of bronchoalveolar lavage in post-covid pulmonary fibrosis by Mohammad Shadab Ali, Vijay Hadda, Sonia Verma, Anita Chopra, Saurabh Mittal, Karan Madan, Pawan Tiwari, Tejas Menon Suri, Anant Mohan

“…Abstract Background Post-Covid Pulmonary Fibrosis (PCPF) has emerged as a significant global issue associated with a poor quality of life and significant morbidity. …”
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Lightweight and robust ship detection method driven by self-attention mechanism by Feng MA, Zihui SHI, Jie SUN, Chen CHEN, Xianbin MAO, Xinping YAN

“…MethodFirst, this method constructs a feature fusion and extraction network that is highly sensitive to small objects by integrating the Swin Transformer module (STR) with the classic CSPDarknet53 network. …”
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Detection Model for Cotton Picker Fire Recognition Based on Lightweight Improved YOLOv11 by Zhai Shi, Fangwei Wu, Changjie Han, Dongdong Song, Yi Wu

“…In response to the limited research on fire detection in cotton pickers and the issue of low detection accuracy in visual inspection, this paper proposes a computer vision-based detection method. …”
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Infrared Small Target Detection Based on Weak Feature Enhancement and Target Adaptive Proliferation by Xiaoyu Xu, Weida Zhan, Yichun Jiang, Depeng Zhu, Yu Chen, Jinxin Guo, Ziqiang Hao, Deng Han

“…The imbalance between positive and negative samples and the loss of small targets in complex backgrounds are catastrophic for infrared small target detection. To address these issues, we proposed an infrared small target detection method based on weak feature enhancement and target adaptive proliferation (IRSTD-WFETAP). …”
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An Improved Small Target Segmentation Model Based on Mask Dino by Jun Yang, Xu Chen, Yun Guan, Yixuan Hu, Gang Ge

“…To address the issue of low segmentation accuracy for small objects in the Mask Dino segmentation method, we propose an improved small object segmentation model called FFMask Dino. …”
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Improving pluvial flood simulations with a multi-source digital elevation model super-resolution method by Y. Zhu, Y. Zhu, P. Burlando, P. Y. Tan, C. Geiß, C. Geiß, S. Fatichi

“…The method employs a tailored multi-source input module, enabling it to effectively integrate and learn from diverse data sources. …”
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PEYOLO a perception efficient network for multiscale surface defects detection by Xun Li, Yuzhen Zhao, Xiangke Jiao, Qingzhe Meng, Zhun Guo, Ruijuan Yao, Yaqiao Yang, Baoxi Yuan

“…These three modules can be seamlessly integrated into the YOLO framework. …”
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FCDNet: A Lightweight Network for Real-Time Wildfire Core Detection in Drone Thermal Imaging by Linfeng Wang, Oualid Doukhi, Deok Jin Lee

“…This paper introduces a novel infrared wildfire detection network named FCDNet to tackle this issue. It includes an Efficient Processing (EP) module based on the novel Partial Depthwise Convolution (PDWConv) and the lightweight feature-sharing decoupled detection head (Fast Head), achieving low-size and low-computation wildfire detection. …”
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